This event group covers a professional German DEL (Deutsche Eishockey Liga) ice hockey match between EHC Red Bull Muenchen and Adler Mannheim scheduled for April 14, 2026. Markets on both Kalshi and Polymarket are betting on the outcome of this single game, with resolution based on the final score including overtime and shootout results.
Kalshi's market structure is logically contradictory and unresolvable: both outcomes (Adler Mannheim wins OR Red Bull Munich wins) resolve to YES, leaving no path to NO resolution. Polymarket uses standard winner-determination logic with clear resolution paths for each team and cancellation provisions.
Hero Tip:
Avoid betting on Kalshi's market — it contains a logical flaw that makes it impossible to resolve to NO under any realistic game outcome. Polymarket's market is resolvable and should be preferred for this event.
Critical Divergence Points:
Kalshi: Outlier: Both possible game outcomes (Adler Mannheim win OR Red Bull Munich win) are mapped to YES resolution, creating a logical contradiction with no NO outcome path. The market states 'If Adler Mannheim wins...resolves to Yes' and 'If Red Bull Munich wins...resolves to Yes', leaving no scenario for NO resolution.
Polymarket: Distinct stance: Resolves to the name of the winning team (either 'EHC Red Bull Muenchen' or 'Adler Mannheim') based on final score including overtime and shootouts, with explicit cancellation provisions (50-50 split if canceled with no makeup game) and postponement handling (market remains open until completion).
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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